Difference between revisions of "Daesik Kim"

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멀티모달 딥러닝을 이용한 음악 장르 분류. HCI KOREA 2016
 
멀티모달 딥러닝을 이용한 음악 장르 분류. HCI KOREA 2016
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Daesik Kim, Myunggi Lee and Nojun Kwak, "Matching Video Net: Memory-based embedding for video action recognition", International Joint Conference on Neural Networks 2017 (IJCNN2017), Anchorage, AK, May 2017.

Revision as of 16:53, 13 February 2017

Kds.jpg Daesik Kim (김대식)

서울대학교 융합과학부 석박사통합과정 (2014.09 ~ )
포항공과대학교 산업경영공학과 졸업 (2007.08)


Tel: +82-31-888-9579
e-mail: daesik.kim@snu.ac.kr


Research Interests

Machine Learning, Generative Deep Learning Model, Multi-modal Deep Learning


Education

B.Sc. Industrial Engineering and Management, Pohang University of Science and Technology, 2007


Employment

System developer, Programmer(Powerbuilder, Oracle), Mega IT. 2002-2005

Assistant Manager ,Tresury department, Kookmin bank, 2007-2014


Publication

Seo, J., Kim, D., Suh, B., & Lee, J. (2015, April). Design of a Smart TV Logging System Using Beacons and Smartphones. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2157-2162). ACM.

멀티모달 딥러닝을 이용한 음악 장르 분류. HCI KOREA 2016

Daesik Kim, Myunggi Lee and Nojun Kwak, "Matching Video Net: Memory-based embedding for video action recognition", International Joint Conference on Neural Networks 2017 (IJCNN2017), Anchorage, AK, May 2017.